About Transformer Explainer

This interactive visualization helps you understand how transformer models work. The tool provides a step-by-step walkthrough of the transformer architecture, showing how input text is processed through embeddings, attention mechanisms, and feed-forward networks to generate predictions.

Key Features:
  • Interactive visualization of the GPT-2 transformer model
  • Real-time model execution with customizable inputs
  • Step-by-step breakdown of attention mechanisms
  • Visual representation of embeddings and token processing
  • Educational tooltips and explanations
Developed by the Polo Club of Data Science at Georgia Institute of Technology.